HR platform for Kazakhstan
All of HR in one platform, from hiring to engagement
Recruiting, learning, performance, engagement and self-service in one product. White-label, 4 languages, data residency.
Isolated instance, self-hosted AI, data residency in Kazakhstan
One product instead of ten systems
Modules run on shared data and permissions: no integration zoo, no double data entry. Everything HR needs, from a hiring request to engagement analytics.
Hiring and onboarding
Hiring pipeline, publishing and response import from hh.kz, an SEO career site and AI resume screening.
Adaptation plans with 30/60/90 milestones and live progress.
Learning and performance
Courses, paths, certificates and skill-gap by position.
Review cycles, 360°, goals and 9-box calibration.
Question banks, assignments and proctoring.
Engagement
Survey builder with k-anonymity and analytics.
Pulse surveys, happiness index, drivers and alerts.
Points, badges, a reward shop and peer recognition.
HR core and documents
Legal entities, units and positions; staffing table and the T-3 form.
Electronic orders with approval routes and full history.
Contract and addendum registry with a full lifecycle.
Kazakhstan production calendar, leave types, working-day calculation.
Self-service and alerts
Profile, requests with approval routes, documents and certificates.
Notification center: in-app feed, email and messengers as providers connect.
Data and integrations
Cross-module KPIs, trends and exports across modules.
REST and OpenAPI, signed outbound events (HMAC).
AI where it actually helps
Not “AI for AI”, but concrete scenarios inside real workflows.
Claude by default; in self-hosted mode data stays inside your perimeter.Resume screening and semantic matching to a role.
Assistant with RAG over your policies and knowledge base.
AI course summaries and a chat tutor over learning materials.
The assistant performs actions (course enrollment, requests) only after your confirmation.
Your data stays home
For Kazakhstan, data residency is a requirement, not an option. So isolation is built into the architecture, not bolted on.
Instance per client
A separate app and database for each customer.
Self-hosted AI
Run the LLM gateway inside your perimeter, data stays in.
Access, MFA and audit
RBAC/ABAC and data scopes, MFA (TOTP), an immutable audit trail, RFC 7807 errors.
Residency and encryption
PII stored in Kazakhstan (KZ Law 152-V), TLS 1.3 and AES-256-GCM for sensitive data.
Under your brand, no code fork
Logo, colors, fonts and even terminology are configured via config and theme. One codebase, many instances, core updates without losing your customizations.
Frequently asked questions
The product, data, languages and rollout in brief.
What is Talantiq?
A unified HR platform for Kazakhstan: recruiting, onboarding, learning, performance, surveys, rewards, HR document workflow and self-service in one product. Delivered as an isolated instance per customer.
Where is data stored and how does residency work?
Data is hosted in Kazakhstan under Law 152-V: a separate app and database per client, TLS 1.3 and AES-256-GCM encryption for sensitive data, and an immutable audit trail.
Which languages does the interface support?
Russian, Kazakh, Uzbek (Latin and Cyrillic) and English — full localization of the interface and content.
Can it run under our own brand (white-label)?
Yes. Logo, colors, fonts and terminology are configured via config and theme, with no code fork. One codebase, many instances, core updates without losing your customizations.
How does licensing work and what does it cost?
The model is an isolated instance per customer; price depends on the module set and scale. Request a demo and we will walk through the platform on your scenarios and quote the terms.
Is there AI and is it safe?
Yes. AI scenarios (resume screening, a RAG assistant over your policies, learning summaries) run on Claude by default; in self-hosted mode data stays inside your perimeter and the assistant performs actions only after your confirmation.
Which modules are included?
Recruiting (ATS), onboarding, learning (LMS), performance, assessments, surveys, eNPS, rewards, org structure and staffing table, HR orders (EDO), employment contracts, time and leave, analytics, notifications and self-service — all running on shared data and permissions.
Can it be deployed on-premise / self-hosted?
Yes. The platform is designed for an isolated install inside the customer perimeter (on-prem) with a self-hosted AI gateway — data never leaves your perimeter.
Ready to see Talantiq in action?
We will walk through the platform on your scenarios and answer questions in 30 minutes.